Factors determining allocation of land for improved wheat variety by smallholder farmers of northern Ethiopia
Leake Gebresilassie,Adam Bekele +1 more
TLDR
In this article, the Tobit model was used to analyze factors influencing adoption of improved wheat technology econometrically, and a total of thirteen explanatory variables were included in the model including education level of household head, family size, tropical livestock unit, distance from main road and nearest market, access to credit service, extension contact and perception of household towards cost of the technology.Abstract:
This study was conducted in Northern Ethiopia, Adwa district. The main objective of the study was to examine factors influencing allocation of land for improved wheat variety by smallholder farmers of the study area. Descriptive, inferential and econometric methods were used to analyze data. Results of descriptive and inferential analyses showed that; adopters had high family size in adult-equivalent, high number of tropical livestock unit, large land size, high frequency of extension contact, access to credit service, they were followed formal schooling, and they were nearest to main road and market as compared to non-adopters. Tobit model was used to analyze factors influencing adoption of improved wheat technology econometrically. A total of thirteen explanatory variables were included in the model. From the tested variables only eight variables (education level of household head, family size, tropical livestock unit, distance from main road and nearest market, access to credit service, extension contact and perception of household towards cost of the technology) were found to be the significant factors affecting adoption of improved wheat variety. Implication of results of this study is that any development intervention through improved wheat technologies should consider the aforementioned socioeconomic characteristics and determinants of adoption for success.
Key words: Adoption of Improved wheat variety, Adwa, smallholder farmers, Topit model.read more
Citations
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Factors influencing adoption of improved maize seed varieties among smallholder farmers in Kaduna State, Nigeria
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Determinants of smallholder teff farmer’s chemical fertilizer technology adoption in Southern Ethiopia, in case of Gena District in Dawro Zone (Heckman Two-Stage Model)
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Household-Level Determinants of Participation in Forest Support Programmes in the Miombo Landscapes, Zambia
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Factors constraining the adoption of Soil Organic Carbon Enhancing Technologies among small-scale farmers in Ethiopia
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Posted Content
Agricultural Technology Adoption, Seed Access Constraints and Commercialization in Ethiopia
TL;DR: In this paper, the authors examined the driving forces behind farmers' decisions to adopt agricultural technologies and the causal impact of adoption on farmers' integration into output market using data obtained from a random cross-section sample of 700 farmers in Ethiopia.
Journal ArticleDOI
Assessing the Factors Influencing the Utilization of Improved Cereal Crop Production Technologies by Small-scale Farmers in Nigeria
I. U. Odoemenem,C. P. O. Obinne +1 more
TL;DR: In this paper, the authors identify the major factors influencing the level of adoption of improved cereal crop production technologies in Nigeria and identify the difficulties inherent in using a practice; the consistency or how adaptable the practice is in the context of existing practices in which the farmers are already familiar with; and the expectations of the farmers using the practice.
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